181 results about "Road transport" patented technology

The invention relates to the technical field of intelligent traffic, and discloses a road transportation key operating vehicle intelligent supervision system, which comprises a data acquisition and fusion module used for acquiring multi-source heterogeneous data of a vehicle terminal, an external environment and the like in real time and carrying out standardization processing; the cognitive digital twinning construction module is used for constructing a dynamic heterogeneous graph representation human-vehicle-road-environment system and outputting a cognitive state vector through a graph neural network; the risk prediction and evaluation module is used for predicting a risk evolution trend based on the state vector sequence and quantifying the uncertainty of prediction by using a Monte Carlo discarding method; and the self-adaptive intervention decision module is used for combining risk prediction and uncertainty, making a decision through a reinforcement learning model and executing an optimal active intervention instruction. By constructing cognitive digital twinning and introducing uncertainty quantification and closed-loop self-checking, prospective prediction and self-adaptive intervention of driving risks are realized, and the accuracy and robustness of supervision are improved.

The invention provides a network freight transport capacity matching system for railway-highway combined transportation. The network freight transport capacity matching system comprises a freight owner end device, a transport capacity end device and a platform end end system. The cargo owner end equipment acquires cargo transportation demands, the transport capacity end equipment acquires transport capacity information of a transport capacity main body, the platform end subsystem integrates the cargo transportation demands to form an order and publish the order, integrates the transport capacity information of each transport capacity end, and matches the order with the transport capacity main body through a system order sending mode, an order grabbing mode or a bidding mode; and generating a contract and executing in-transit supervision. According to the invention, efficient integration and cooperation of railway and highway transportation resources can be realized, the organization efficiency and service quality of cargo transportation are improved, a more convenient, flexible and intelligent freight management solution is provided for cargo owners and transport parties, and innovative development of a railway and highway combined transportation mode is promoted.

The invention discloses a multi-target road transportation path planning method and system based on multiple parameters A * and NSGA-II, and belongs to the technical field of road transportation path optimization. The method comprises the following steps: constructing a large-scale road network directed graph structure; establishing a satellite orbit model and a risk distribution model, calculating a dynamic risk value of a roadside, and forming dynamic road network data; a three-stage initialization strategy is adopted to generate an initial population, transportation time and reconnaissance risks are taken as double targets, evolutionary optimization is carried out through an NSGA-II algorithm, and a Pareto optimal path set is output. The system comprises a corresponding road network module, a risk module and a planning module. According to the method, the technical problems of multi-target conflict, low initial population quality and satellite risk avoidance of a traditional method are solved, and the timeliness, the concealment and the algorithm efficiency of path planning are remarkably improved.

The invention provides a road transport vehicle driving risk uncertainty prediction method and system, and belongs to the technical field of vehicle driving risk prediction technology, and the method comprises the steps: obtaining an alarm number space-time sequence, a traffic flow space-time sequence and a multi-graph static adjacency matrix of a current time step; and processing the obtained alarm number time-space sequence, the traffic flow time-space sequence and the multi-graph static adjacency matrix by using a pre-trained road transport vehicle driving risk uncertainty prediction model to obtain the road transport vehicle alarm number in the future time step. According to the invention, accurate short-time prediction of the driving risk of the road transport vehicle is realized, and powerful technical support is provided for improving the reliability and real-time performance of vehicle driving risk early warning.

The invention discloses a zero-carbon intelligent electrified highway transportation system, and relates to the technical field of highway transportation green low-carbon and new energy automobiles, and the system comprises the following components: an energy supply and management module which supplies power through the combination of an external power grid and a renewable energy power generation micro-grid, carries out the voltage reduction and rectification of a traction substation, and outputs the power to a power supply module; a renewable energy power supply proportion dynamic adjustment formula is utilized, and the total central control platform dynamically adjusts the power supply proportion according to the power consumption demand and the energy reserve, so that stable power supply is guaranteed; through close cooperation of the energy supply and management module and the vehicle energy utilization module, electric power is obtained from the overhead contact line system in real time in the driving process, the problems that a new energy heavy truck is short in driving mileage and low in energy supplementing efficiency are effectively solved, the transportation efficiency is greatly improved, the requirement for long-distance freight can be better met, and the transportation cost is reduced. And the road freight industry is powerfully promoted to develop in a more efficient and more convenient direction, and the competitiveness of transportation enterprises in the market is remarkably enhanced.

The invention relates to the technical field of tire health degree evaluation, in particular to a road transport vehicle in-use tire health degree evaluation method, which comprises the following steps of S1, acquiring tire data, S2, constructing a three-level evaluation framework based on a hierarchy analysis method, S3, constructing a first-level index judgment matrix and a second-level index judgment matrix, and S4, constructing a first-level index judgment matrix and a second-level index judgment matrix. The method comprises the following steps: S1, calculating a first-level index and a second-level index, calculating a weight vector of each single index in the first-level index and the second-level index, and carrying out normalization, row summation and further normalization processing on a first-level index judgment matrix and a second-level index judgment matrix, S4, correcting a weight vector coefficient by adopting an entropy weight method, and calculating a combined weight by adopting a multiplication combination method, and S5, carrying out fuzzy comprehensive evaluation by adopting a fuzzy comprehensive evaluation method. And S6, according to the actually measured tire data, evaluating the tire health degree. According to the method, the tire health degree is comprehensively evaluated based on the multi-dimensional indexes, the analytic hierarchy process and the entropy weight method are combined for weighting, the accident rate is reduced, and the operation and maintenance cost is saved.

The invention discloses a highway-railway combined transportation scheduling method and system based on digital twinning and multi-agent cooperation. The method comprises the following steps: establishing a unique binding relationship of people, vehicles and goods in a transportation order based on an RFID binding algorithm, and synchronizing the unique binding relationship to a database; collecting railway transportation state data, road transportation state data and freight station operation data in real time; standardizing the railway transportation state data, the road transportation state data and the freight station operation data through a multi-source data fusion center; the connection time, the route and the parking position of the road vehicle are dynamically adjusted based on the LSTM collaborative scheduling model, and a road vehicle diversion and waiting duration estimation scheme under the emergency situation is output; railway carriage demands are predicted through LSTM, dynamic optimal matching of road trucks and railway carriages is dynamically matched based on a mixed integer programming model, an optimal matching scheme of the road trucks and the railway carriages is generated, unique binding of people, vehicles and goods is achieved by introducing an RFID technology, information barriers are broken, and real-time sharing and standardized interaction of data are achieved.

The invention discloses a multi-objective path optimization system and method for hazardous chemical substance road transportation, and the system comprises a data obtaining module which is used for obtaining hazardous chemical substance transportation demand information and road network information, and generating a basic data set; the multi-objective optimization module is used for carrying out collaborative optimization of path planning and risk management and control based on the basic data set to generate an optimization scheme; and the path generation module is used for generating a final transportation path, a time arrangement and an emergency plan based on the optimization scheme, and performing dynamic adjustment according to the real-time road condition. The safety, reliability and efficiency of dangerous chemical substance road transportation are remarkably improved, potential risk exposure is reduced, and comprehensive technical support is provided for dangerous chemical substance transportation management.

The invention provides an urban road transportation price prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting vehicle data, cargo data, route data, text data and original time sequence data; performing first preprocessing on the vehicle data, the cargo data and the first part of route data to obtain structural non-time-sequence features, performing second preprocessing on the second part of route data and the text data to obtain category features, and performing third preprocessing on the original time sequence data to obtain structural time sequence features; converting the structural non-time-sequence features, the category features and the structural time-sequence features into numeric features; inputting the numerical features into a freight rate regression prediction model, and outputting a freight rate prediction result; according to the method, feature extraction is carried out on the text data through the large language model, and the text data are converted into structured features, so that organic fusion of the deep time sequence model and the large language model is realized, high-precision freight rate dynamic prediction is realized, and the real-time response capability to emergencies is improved.

The invention discloses an unmanned aerial vehicle highway combined transport integrated scheduling method, and relates to the field of cargo transportation, and the method comprises the steps: screening out an initial cargo distribution strategy according to a comparison result of cargo attributes and transportation tool performance parameters, and obtaining an optimized distribution scheme containing unmanned aerial vehicle transportation and highway transportation in combination with a heuristic search algorithm; generating a route for transportation of the unmanned aerial vehicle by using the initial flight path of the unmanned aerial vehicle in combination with a heuristic search algorithm and the flight factors of the unmanned aerial vehicle; generating a route for road transportation by using a basic path algorithm and combining a multi-objective optimization strategy and road transportation factors; according to the route for the unmanned aerial vehicle transportation and the route for the road transportation, determining a conversion node of the unmanned aerial vehicle and the road transportation; and establishing an intermodal node management mechanism at the conversion node. According to the invention, resource configuration can be optimized, transportation efficiency can be improved, transportation cost can be reduced, and real-time sharing and accurate monitoring of information can be realized.

This invention relates to the field of attaching agricultural implements to tractors, specifically an attachment device for a self-propelled potato planter. The device includes a transition frame, a hydraulic cylinder, connecting rods, and a transition bar. The transition frame is a vertically mounted rectangular frame formed by connecting an upper rod, a left rod, a lower rod, and a right rod end-to-end. The planter frame includes a crossbar and two right-angle brackets at both ends of the crossbar, perpendicular to it. Each right-angle bracket includes an upright post and a horizontal post perpendicular to the upright post. The connecting rod consists of four identical rods. Two connection points on the left rod and two connection points on the upright post of the left right-angle bracket are rotatably connected to the ends of the two connecting rods, forming a parallelogram structure. This invention enables the planter to swing left and right horizontally and float up and down vertically during planting operations. During road transport, the planter is fixedly connected to the tractor, preventing left and right swinging and vertical floating.

A routing optimization method for truck-drone integrated rescue vehicles in forest firefighting includes the following steps: collecting the data of the disaster sites caused by forest fires, calculating transportation time on road and flight time according to the data of the disaster sites, and getting the transportation time data of post-disaster relief; based on the disaster site data, transportation time data, and an amount of relief supplies that can be allocated to disaster relief sites, constructing a mathematical model of the truck-drone based vehicle routing problem; solving the mathematical model of the truck-drone based vehicle routing problem by the optimization algorithm, and specifying a post-disaster rescue route of the truck-drone integrated rescue vehicle according to the solution results. The model based on the truck-drone based vehicle routing problem method can reduce the impact of sudden natural disasters, and give full play to the advantages of truck-drone integrated rescue vehicles.

The invention discloses an integrated drilling and workover rig base capable of being rapidly disassembled and assembled and a using method thereof.The base can serve as an integral structure to be loaded on a flat plate transport vehicle for road transportation in the transportation state and comprises a bottom assembly; a top assembly; the front stand column, the rear stand column, the bottom assembly and the top assembly jointly form a parallelogram folding mechanism; the base lifting cylinder is connected between the bottom assembly and the top assembly; in the transportation state, the parallelogram folding mechanism is in the folded state, so that the top assembly is close to the bottom assembly in the height direction, and the overall appearance size of the base meets the height limiting and width limiting requirements of highway transportation. Through the parallelogram folding structure and the integral transportation design, the integral transportation of the base and the accessories in one train is realized. The two-stage hoisting mechanism is used for guaranteeing safe and stable hoisting, the transportation height is remarkably reduced, the road transportation standard is met, and finally the effects of improving the moving efficiency and reducing the operation cost and the safety risk are achieved.

A transportable scrap metal pre-shredding system comprising a pre-shredding machine (1) with a frame (2) in which upper and lower shafts (5, 7), both with toothed discs, are at least partially housed. The system comprises a drive unit (9), connectable to the pre-shredding machine (1), including at least one hydraulic unit and one motor. In the working position, the pre-shredding machine (1) and the drive unit (9) are connected, while in the transport position, they are disconnected. The system also comprises control means for adjusting the distance between the shafts (5, 7), modifying the direction of rotation of the upper shaft (5), and modifying the rotational speed of at least one of the shafts (5, 7), based on the size of the scrap and the energy consumption required to process it at any given moment. Both the drive unit (9) and the pre-shredding machine (1) are suitable for road transport.

The application provides a road transport vehicle collision risk prediction method and system, and belongs to the technical field of deep learning, wherein trajectory data and alarm data of a road transport vehicle are acquired; a collision risk prediction model that is pre-trained is used to process the acquired trajectory data and alarm data, so that a collision risk prediction result is obtained. The application considers the influence of multi-dimensional factors such as drivers, vehicles, trips, environments, roads and time sequences, realizes accurate short-time prediction of vehicle driving risk, and provides strong technical support for improving the reliability and real-time performance of vehicle driving risk early warning. A SHAP explanation mechanism effectively reveals the nonlinear influence mechanism of multi-dimensional factors on collision risk, and provides theoretical support for dynamic intervention of collision risk.

The present invention relates to a foldable soil cultivation machine with rotary soil cultivation units. Particularly advantageous are the preservation of soil structure through minimal soil disturbance, low energy consumption compared to alternative soil loosening methods, good road transportability, and high combinability of the machine. The tension between the goals of large working widths and good transport characteristics is resolved by the folding tillage machine, which comprises at least several rotary tillage units, several frame elements, at least one linear actuator configured to drive the folding movement between at least two frame elements about the rotatably mounted axis, and at least one transmission mechanism, wherein the at least one transmission mechanism is connected to the at least one linear actuator and at least two frame elements in such a way that the angle of rotation of the frame elements during the folding process about the rotatable axis can be changed in a range of at least 170°, preferably 180°, and this folding movement between a pair of frame elements is driven by a single linear actuator or a set of several parallel, parallel-kinematically acting linear actuators.

The invention relates to the related field of supply chain optimization management, and discloses a cloud-based green supply chain optimization method and system, which are suitable for supply chain logistics management of production materials and life products, and can optimize the average energy consumption by synchronizing basic data such as geographical fall and supply load of each supply line of a supply chain at the cloud. And data synchronization supervision is carried out on the transfer logistics vehicles in the jurisdiction so as to evaluate the energy consumption conditions of the vehicles in various road transportation states, and then reasonable scheduling management is carried out on the vehicles in the jurisdiction, so that the transfer vehicles can run in the most suitable supply route; the minimum energy consumption can be achieved when the same number of production materials are supplied and transferred in the jurisdiction area, and the purpose of green management optimization of the supply chain is achieved.

The utility model relates to the technical field of road transportation, in particular to a goods covering device for road transportation, which comprises a frame body, mounting seats which are symmetrically distributed are fixedly connected to the top of the frame body, clamping rods are arranged on the mounting seats, motors which are symmetrically distributed are arranged in the frame body, fixing plates which are symmetrically distributed are further fixedly connected to the inside of the frame body, and the fixing plates are fixedly connected to the top of the frame body. A lead screw is rotationally installed on the fixing plate and connected with an output shaft of the motor. According to the device, the mode that the motor drives the lead screw is adopted, rapid unfolding and folding of the covering tent are achieved, the motion mode that the motor drives the lead screw has high bearing capacity and stability, it can be ensured that the covering tent is stably and reliably unfolded and folded under various working conditions, the cargo covering efficiency is effectively improved, and the cargo covering cost is reduced. In addition, the time and the intensity of manual operation are reduced, the labor burden of workers is reduced, and meanwhile, the risk caused by improper manual operation is also reduced.

The invention relates to a commercial vehicle accident high-risk scene portraying method and system. The method comprises the following steps: acquiring original data; constructing a high-risk scene index system, and defining a risk level; preprocessing the original data based on the high-risk scene index system to obtain preprocessed data; training the self-organizing mapping neural network by utilizing the preprocessed data, and adjusting network node weights by adopting a forgetting suboptimal rule to obtain an initial clustering center; and taking the initial clustering center as a starting point, taking the risk level as an initial K value, and carrying out K-means clustering analysis on the preprocessed data to obtain a commercial vehicle accident high-risk scene portrait result. According to the method, the SOM neural network and the weight updating mechanism with the forgetting factor are introduced to optimize the clustering effect, and the pendulum effect generated in the later period is avoided; through methods of clustering analysis, multiple correspondence analysis and the like, accurate description of an accident high-incidence scene of the commercial vehicle is realized, and a support is provided for comprehensively improving the safety of the road transport vehicle.

The invention discloses a quasi-zero stiffness structure and metamaterial composite vibration isolation platform for transportation vibration reduction, and relates to the technical field of vibration isolation platforms, the quasi-zero stiffness structure and metamaterial composite vibration isolation platform comprises a guide assembly, and the guide assembly comprises a base and an equipment vibration isolation platform which is arranged above the base and can slide and lift relative to the base; the vibration isolation assembly comprises a quasi-zero stiffness structure and a local resonance metamaterial vibration isolation assembly; the quasi-zero stiffness structure is connected and supported between the base and the equipment vibration isolation platform, the local resonance metamaterial vibration isolation assembly is connected between the base and the equipment vibration isolation platform and arranged corresponding to the peripheral side of the quasi-zero stiffness structure, and the local resonance metamaterial vibration isolation assembly and the quasi-zero stiffness structure jointly inhibit vibration transmission from the base to the equipment vibration isolation platform. According to the invention, impact and vibration transmitted to precision equipment by pavement excitation during highway transportation can be effectively inhibited.

An intelligent storage and transportation box used in the human organ transplantation and transfer process comprises a box body and a box cover, a buckle plate and a touch display screen are fixedly installed on the surface of the box cover, and the box body and the box cover are connected through a hinge; a first temperature control sensor is mounted on the inner side of the box cover, and a second temperature control sensor is mounted at the bottom in the box body; the driving part is arranged in the box body and comprises a positioning module, a gravity sensing module and a lock control module. The storage and transportation box can adapt to various traffic works of civil aviation aircrafts, high-speed railways and highway transportation; the temperature in the box body can be seen in real time through the touch display screen for warning; the driving circuit board can send information such as the temperature in the box body and the location of the box body to an external data center through the mobile internet, so that a medical team at a far end can know the temperature condition and the physical location of the box body conveniently; the driving circuit board can protect the transferred organs in the box body through the lock control module, and accidental or malicious opening is prevented.

This invention discloses a freight train composed of sub-trainsets connected end-to-end. Each sub-trainset consists of a motor car that also functions as a freight car and a group of conventional freight cars it drives. The power supply and pneumatic braking systems of each sub-trainset are independent. Sub-trainsets can be separated from and joined to the main train, enabling rapid unloading and loading of freight. This rationally advances the regional division of labor between rail freight and road transport from arrival and departure hubs to intermediate stations, ensuring that most of the busiest railway lines within 150km can be rationally connected to road freight. This distributed train scheme allows for compact component specifications; it can adopt large-scale passenger car permanent magnet motor drive systems produced in large quantities, accelerating the realization of permanent magnet synchronization of railway drive motors; it uses rubber wheel drive frames, significantly improving the traction force per unit weight, thus multiplying the proportion of trailer-driven motor cars; it makes full use of existing freight cars and existing railways; these cost-saving measures comprehensively promote the "road-to-rail" shift in medium- and long-distance road freight.

An apparatus for use with a road transportable chassis comprises a body and a pair of shells. The body is connected in use to the chassis and defines a floor and a ceiling disposed in stacked spaced relation, the floor being horizontal and above the chassis. Each shell comprises: a floor and a ceiling disposed in stacked spaced relation; and a wall from which the floor and ceiling protrude. The shells are moveable between: a collapsed position, wherein the shells are relatively proximal, the walls are disposed in flanking relation to the body, the ceilings of the shells overly the ceiling of the body and the floors of the shells overly the body floor; and an expanded position, wherein the shells are relatively distal, the ceilings of the shells define extensions of the ceiling of the body and the floors of the shells define extensions of the body floor.

This application provides a third-party monitoring method for road transport safety management, including: a monitoring platform determining the status of a vehicle entering or exiting an assigned electronic fence based on vehicle satellite positioning data, and generating a regional alarm when a vehicle crosses the boundary or violates speed limits; executing a verification and processing procedure for various alarms generated by the monitoring platform, including platform alarms and proactive safety alarms, supporting enterprise users to appeal the verification results and subsequent review; marking the status of vehicles in special states such as being out of service, under maintenance, scrapped, or suspended from monitoring, and providing abnormal movement records and offline duration statistics queries; pushing announcement documents to subordinate enterprises or initiating safety inspection tasks, and requiring enterprises to submit reading receipts or inspection responses; generating statistical reports on daily, weekly, monthly, and yearly cycles, and supporting scheduled automatic or instant push to designated email addresses.

The invention discloses a large double-engine unmanned aerial vehicle convenient to transport and rapidly unfold, and belongs to the technical field of unmanned aerial vehicles, and the unmanned aerial vehicle is composed of a fuselage and empennage module, a central wing and nacelle module, a left outer wing module and a right outer wing module. Wherein the V-shaped empennage can be folded and stored, and the undercarriage can be stored in the front fuselage and the nacelle. After the undercarriage is folded and the empennage is folded, the four modules can be packaged and transported through two containers meeting the national highway transportation standard, and the four modules are quickly connected after the unmanned aerial vehicle arrives at the destination, so that the overall unfolding of the unmanned aerial vehicle can be completed; according to the unmanned aerial vehicle, the number of structural separation surfaces and cable separation surfaces is small, the maintenance cost of the structure and the cable is low, the transportation cost is low, the unfolding time is short, the use cost of the unmanned aerial vehicle is reduced, and the unmanned aerial vehicle can be quickly put into operation after arriving at a designated destination.

The invention relates to the technical field of automobile testing, in particular to a vehicle emergency braking system test analysis method and system, and the method comprises the steps: setting a test environment; detecting whether the vehicle state of the to-be-tested vehicle provided with the one-key emergency braking system meets a preset initial state requirement or not, and if yes, performing one-key emergency braking system testing on the to-be-tested vehicle in the testing environment; the one-key emergency braking system test comprises the steps of controlling a to-be-tested vehicle to run according to a preset test process, collecting vehicle information in the running process, and analyzing whether a corresponding preset function requirement is met or not according to the vehicle information so as to judge whether the one-key emergency braking system of the to-be-tested vehicle passes the test or not. According to the scheme, the effectiveness of the one-key emergency braking system under different working conditions can be accurately tested, so that the intrinsic safety level of road transportation equipment is improved, the active prevention and control capability of vehicle out-of-control is improved, and road traffic safety risks under new technologies and new forms are effectively prevented and solved.

The present application provides a kind of road transport vehicle driving risk uncertainty prediction method and system, belongs to vehicle driving risk prediction technical technical field, obtains the alarm quantity space-time sequence of current time step, traffic space-time sequence and multi-graph static adjacency matrix;Utilize the road transport vehicle driving risk uncertainty prediction model of pre-trained to the alarm quantity space-time sequence, traffic space-time sequence and multi-graph static adjacency matrix obtained are handled, obtain the road transport vehicle alarm quantity on future time step.The present application realizes accurate road transport vehicle driving risk short-time prediction, provides strong technical support for improving the reliability and real-time of vehicle driving risk early warning.

The present invention belongs to the technical field of dust pollution and pollution monitoring. A sampling device for vegetation leaf pollution on both sides of a highway, including a spray assembly and a spray liquid collection assembly; the spray assembly includes a spray bracket, a spray head, a water supply pipe and a water supply unit, the spray head is arranged on the upper part of the spray bracket and is arranged corresponding to the crown of the vegetation; the water supply pipe is connected to the spray head; the water supply unit is used to provide power and supply water to the spray head through the water supply pipe; the spray liquid collection assembly includes a collector and a sampling bottle, the collector is arranged around the roots of the vegetation; the sampling bottle is connected to the collector, and samples the collected spray liquid. A sampling method for vegetation leaf pollution on both sides of a highway is also disclosed. The structural design of this application is reasonable, and can effectively realize the collection and classification of pollutants in different areas of the vegetation crown, accurately analyze the pollution components, pollution characteristics and pollution range on the vegetation leaf surface, and provide a scientific basis for preventing pollution caused by road transportation.

This invention provides a hybrid traffic flow simulation method for road transport vehicle safety management. The method includes constructing a CA (Carrier Module) model and a CTM (Carrier Module Transmission) model considering vehicle heterogeneity, and connecting the simulation areas of the CTM and CA models through a transition zone. The road is divided into several cells of equal length, and the number of vehicles, average speed, vehicle density, and flow rate in the CTM model simulation area are calculated according to the vehicle conservation law. The server inputs the information output from the CTM model into transition zone 1, outputting the driving information of individual vehicles in transition zone 1 at each time step. The information output from transition zone 1 is then input into the CA model, outputting the driving information of individual vehicles of different vehicle types in the CA model simulation area at each time step. Finally, the information output from the CA model is input into transition zone 2, outputting the traffic flow information in transition zone 2. This invention can simulate the traffic flow state throughout the entire road transport process and assess vehicle driving safety at high-risk nodes.

The utility model belongs to the technical field of road carrying, and particularly relates to a trailer for carrying a yacht on a road, which comprises a trailer frame, a swing frame movably lapped on the outer side surface of the top of the trailer frame, and a yacht movably sleeved on the outer side surface of the top of the swing frame, and extrusion rollers movably connected to the outer side surface of the bottom of the yacht in a lap joint mode are fixedly installed on the outer side surface of the inclined face, and grabbing hooks movably connected to the top surface of the yacht in a lap joint mode are fixedly installed on the top surface of the swing frame. The yacht is lifted upwards and then lapped on the top surface of the yacht through the claw hooks on the top surfaces of the swing frames, so that the yacht is under downward extrusion force, and then the positions of the two swing frames are limited through the ropes at the output ends of the winding machines. The effect that deformation is not prone to occurring due to the fact that the swing frame, the yacht, the grab hook and the rope are in an integrated state is achieved.